Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features
Nonlinear characteristics are ubiquitous in the vibration signals produced by rolling element bearings. Fractal dimensions are effective tools to illustrate nonlinearity. This paper proposes a new approach based on Multiscale General Fractal Dimensions (MGFDs) to realize fault diagnosis of rolling e...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/167902 |
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| _version_ | 1832551165001203712 |
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| author | Weigang Wen Zhaoyan Fan Donald Karg Weidong Cheng |
| author_facet | Weigang Wen Zhaoyan Fan Donald Karg Weidong Cheng |
| author_sort | Weigang Wen |
| collection | DOAJ |
| description | Nonlinear characteristics are ubiquitous in the vibration signals produced by rolling element bearings. Fractal dimensions are effective tools to illustrate nonlinearity. This paper proposes a new approach based on Multiscale General Fractal Dimensions (MGFDs) to realize fault diagnosis of rolling element bearings, which are robust to the effects of variation in operating conditions. The vibration signals of bearing are analyzed to extract the general fractal dimensions in multiscales, which are in turn utilized to construct a feature space to identify fault pattern. Finally, bearing faults are revealed by pattern recognition. Case studies are carried out to evaluate the validity and accuracy of the approach. It is verified that this approach is effective for fault diagnosis of rolling element bearings under various operating conditions via experiment and data analysis. |
| format | Article |
| id | doaj-art-1230bd748721445f876781867a16befb |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-1230bd748721445f876781867a16befb2025-02-03T06:04:46ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/167902167902Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal FeaturesWeigang Wen0Zhaoyan Fan1Donald Karg2Weidong Cheng3School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USADepartment of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USASchool of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaNonlinear characteristics are ubiquitous in the vibration signals produced by rolling element bearings. Fractal dimensions are effective tools to illustrate nonlinearity. This paper proposes a new approach based on Multiscale General Fractal Dimensions (MGFDs) to realize fault diagnosis of rolling element bearings, which are robust to the effects of variation in operating conditions. The vibration signals of bearing are analyzed to extract the general fractal dimensions in multiscales, which are in turn utilized to construct a feature space to identify fault pattern. Finally, bearing faults are revealed by pattern recognition. Case studies are carried out to evaluate the validity and accuracy of the approach. It is verified that this approach is effective for fault diagnosis of rolling element bearings under various operating conditions via experiment and data analysis.http://dx.doi.org/10.1155/2015/167902 |
| spellingShingle | Weigang Wen Zhaoyan Fan Donald Karg Weidong Cheng Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features Shock and Vibration |
| title | Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features |
| title_full | Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features |
| title_fullStr | Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features |
| title_full_unstemmed | Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features |
| title_short | Rolling Element Bearing Fault Diagnosis Based on Multiscale General Fractal Features |
| title_sort | rolling element bearing fault diagnosis based on multiscale general fractal features |
| url | http://dx.doi.org/10.1155/2015/167902 |
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